82 molecular-modeling-or-molecular-dynamic-simulation Postgraduate positions in United States
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Internal Number: 118363-en_US We are seeking a Research Program Assistant who is needed in the McMeniman Lab to support a collaborative research program seeking to understand the molecular and cellular
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expertise in conducting and analyzing scientific experiments involving rodent models and in basic molecular biology approaches. They should have a broad (college-level) knowledge of biochemistry, cell biology
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for therapeutic protein circuits; helps organize subgroup efforts to stay aligned with clinical and commercial goals. Performs experiments in molecular biology, synthetic biology, and in vivo experiments; supports
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Department Summary: Leads and contributes to cutting-edge research in the field of coastal flood hazard assessment, with a strong emphasis on compound flood processes and nonstationary coastal dynamics
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is available in the laboratory of Dr. Dan Dixon within the Department of Biochemistry and Molecular Biology at the University of Arkansas for Medical Sciences (UAMS). This role will provide
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expertise in conducting and analyzing scientific experiments involving rodent models and in basic molecular biology approaches. They should have a broad (college-level) knowledge of biochemistry, cell biology
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effective learning environment; UV-Visible Spectroscopy (UV-Vis) for quantitative analysis of solutions, Fourier Transform Infrared Spectroscopy (FT-IR) for molecular structure determination, and Goniometer
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. A bachelor’s degree in biology, chemistry, biochemistry, bioengineering or a closely related field. Recent laboratory research experience Preferred Qualifications: Experience with biology, molecular
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developmental biology and stem cell biology to prostate cancer research. We use genetically engineered mouse models, explant cultures, and 3D organoid culture systems to study androgen signaling during prostate
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supervision of a postdoctoral fellow to study breast cancer initiation and progression using a newly developed mouse model of breast cancer together with primary patient samples. You will additionally learn a